
Senior Data Engineer
Fanatics
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $134,000 - $193,000 per year
Job Level
Senior
Tech Stack
AirflowAWSCloudETLPythonScalaSparkSQL
About the role
- Design, build, and optimize scalable, production-grade data pipelines.
- Develop and maintain ETL/ELT frameworks for ingestion, transformation, and delivery of data to Snowflake and downstream systems.
- Partner with analytics, product, and data science teams to operationalize data models supporting loyalty initiatives.
- Contribute to the architecture and evolution of Fanatics’ central data platform, ensuring scalability and maintainability.
- Collaborate cross-functionally to define and implement data-centric processes and best practices.
- Provide technical mentorship and contribute to the hiring, training, and growth of other engineers.
- Champion engineering excellence through clean, efficient, and well-documented code.
- Deliver and maintain data and service integrations between teams and third-party platforms.
- Be open to occasional travel to Fanatics offices and events for collaboration and team-building.
Requirements
- 5+ years of experience as a data engineer or in a similar role
- Expertise in Spark and AWS EMR or similar tech for large-scale data processing.
- Strong proficiency in Python or Scala and SQL for data transformation and automation.
- Experience in large-scale cloud databases, data transformation, and performance optimization.
- Experience with data orchestration tools (e.g., Airflow, dbt, Dagster, or similar).
- Solid understanding of data modeling, ETL best practices, and data warehousing (Snowflake preferred).
- Proven ability to work in a continuous delivery environment, writing clean, testable, and maintainable code.
- Excellent communication and collaboration skills with both technical and non-technical stakeholders.
- Bias for action, ownership, and delivering high-impact solutions.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringETLELTdata transformationdata modelingdata warehousingcloud databasesdata orchestrationPythonSQL
Soft skills
communicationcollaborationmentorshipownershipbias for actionengineering excellenceteam-buildingcross-functional collaborationproblem-solvingadaptability